Survival Analysis with Cox Proportional Hazard Model for Tuberculosis (TBC) Patients

Abstract

Survival analysis is a method in statistics which aims to analyze the relationship between time from thebeginning of observation until the occurrence of an event (response variable) with factors that have aninfluence on the event (predictor variables). To determine the relationship between the response variableand the predictor variable, where the response variable is the time until the event occurs, one method thatcan be used is the cox proportional hazard regression method. The data used in this research is data onhospitalizations of tuberculosis sufferers at Haji Makassar Hospital in 2022 because it has characteristicsthat are in accordance with the aim of survival analysis, namely to determine the relationship betweenthe life span of TBC patients and the factors that influence TBC disease. The results of the analysisobtained factors that significantly influence the recovery rate of patients with TBC are shortness ofbreath and smoking habits. The shortness of breath variable has an influence on the recovery rateof TBC patients, namely 0,3506, which means that TBC patients who do not experiencing shortnessof breath has a recovery rate of 0.3506 times the likelihood of recovery compared to patients whoexperience shortness of breath. Variable smoking habit was 0.7367, which means that patients withTBC did not smoking habit has a recovery rate of 0.7367 times recovered compared to patients who hada smoking habit